Time for a Scorecard📊and thesis📑updates for purchases done in Feb/Mar 2020. Last review done in late April. How far things have come since then.😯

Not taking any drastic actions, other than few sells in fully valued, slower growth Co.'s.

Events since then
✔️Co's reporting two Qtrly reports
✔️Accelerating growth for few sectors
✔️Understandable problems for few others
✔️Crazy run-ups & valuations in the last 9 mo's, supported by biz growth in some cases, but mostly due to Monetary factors & Investor enthusiasm...
I usually buy for two scenarios

1⃣Leading Co's within strong secular trends, that also have strong Management Teams and solid Financials (Rev growth, Profitability or improving Margins/FCF prospects, no balance sheet risk...).
These are bought with the intention of holding for the long-term as long as the thesis is intact or getting better. Strongly intend to add along the way. Ex : $ROKU $PINS $TWLO $DOCU $W $NOW $WDAY $NVCR $MTCH in the above table.
2⃣More mature and stable Co.'s but with some growth left (no Financial risk), mainly bought for their current under-valuation, with the intent to sell when the Market or those stocks recover. Ex : $BIP $BUD $VTR $BR $BA in above table.
Occasional unplanned sells like
- $W one lot in late May, as the stock 8X'ed in 2 months after bottoming in March.
- $UBER after 3X (but unfortunately, just before the Vaccine news started coming out) as I was more interested in under-valuation in March, than for long-term.
I'm guilty of usually squeezing bulk of my buys in high Volatility periods.

Few purchases made after this (not recommendations)
$CRM (Dec, $220)
$ZM (Dec, $380)
$DOCU (Nov, $201)
$ETSY (Nov, $120)
$TDOC (Nov, $197)
$MDB (Sep, $209)
$FSLY (Sep, $76)
Updating my favorite investing concept & illustration for high volatility periods.

When good Co.'s are heavily discounted and put for you on a platter, given that you have a Watchlist &
✔️done your research
✔️developed thesis/conviction
✔️not worried about further downside
Every one needs their own toolkit for high volatility periods and bear markets. This is what will
✔️ensure you won't let fear drastically change your long-term plans and strategy
✔️get you thru to the other side
✔️maybe even take advantage of the low prices
Here are few concepts that have helped me in the past high volatility periods.

✔️Ben Graham's Mr Market: He's mostly pretty smart/stable but high VIX (fear/uncertainty) & extremely low VIX (complacency) are when you need to be little contrarian & take advantage of his behavior.
✔️"You make a lot of money (by investing in good Co's) during Bear Markets, You just don't realize it at the time" - Shelby Davis.

✔️When the price of a Stock (in a good Company) falls a lot, it actually becomes less risky (Howard Marks)
✔️Hyperbolic discounting : Fear causing time horizons to shrink, and Market valuing good Co's with bright future prospects as if they're mature/declining businesses. h/t @IntrinsicInv

✔️Cash and Courage during a crash are invaluable (Buffett).
Anyway, this is just a random collection of thoughts about high volatility periods (like March), some results/updates, and some concepts that help during those periods.

/END. 👍

More from Ram Bhupatiraju

More from Economy

What do a Tory Peer, Selwyn Gummer (Lord Chadlington), David Sumner ( Sumner Group Holdings) and the Sanchez Perez family (drugs money, laundered through Gold mines) have in common?

It’s another company-saving a £50 million PPE contract shaggy dog story

Connections, connections


What a start to the story

“A bulletproof truck trundled down the road in downtown Lima, guarded by 18 policeman
They were wearing body armour & wielding high velocity rifles

No-one was taking any chances
This was a Special delivery for Peruvian Prosecutor for an anti drug trial


That was in 2011, the same year that Lord Chadlington’s daughter got married in Chadlington to Henry Allsopp.

Who was there?
Yes Kirstie Allsopp of Location, location, location and all this Covid nonsense fame) is his sister

Camilla, his Godmother

Jeremy Hunt

Cameron


Well. Come on. Lord Chadlington had been chair of the local Witney Conservative Association. It’s only fair.

Hang on. Julian Wheatland, Director of SCL Group/ Cambridge Analytica had also been chair of Witney Conservative Association...and campaigned for his mate Cameron

Are we sure Julian Wheatland and his side kick Alexander Nix were not there too @JolyonMaugham ?

I mean. They move in the same North Oxford circles.

You May Also Like

I'm going to do two history threads on Ethiopia, one on its ancient history, one on its modern story (1800 to today). 🇪🇹

I'll begin with the ancient history ... and it goes way back. Because modern humans - and before that, the ancestors of humans - almost certainly originated in Ethiopia. 🇪🇹 (sub-thread):


The first likely historical reference to Ethiopia is ancient Egyptian records of trade expeditions to the "Land of Punt" in search of gold, ebony, ivory, incense, and wild animals, starting in c 2500 BC 🇪🇹


Ethiopians themselves believe that the Queen of Sheba, who visited Israel's King Solomon in the Bible (c 950 BC), came from Ethiopia (not Yemen, as others believe). Here she is meeting Solomon in a stain-glassed window in Addis Ababa's Holy Trinity Church. 🇪🇹


References to the Queen of Sheba are everywhere in Ethiopia. The national airline's frequent flier miles are even called "ShebaMiles". 🇪🇹
Ivor Cummins has been wrong (or lying) almost entirely throughout this pandemic and got paid handsomly for it.

He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...


... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:


Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.

Tweet: https://t.co/36FnYnsRT9


Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."

I wonder why...

Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x


Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.

Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq